5G, the Road to a Better Connected World Vice President, Huawei Japan Edward Zhou Mingcheng
[email protected]
The Evolution of Mobile Technology
Initial
1960s,Cellular Communication Raised
1G-Analog
1980s 1st Mobile Phone based on AMPS
2G-Digital
1990s, GSM Call Success
3G-Broad Band
2000s, UMTS R99
4G-All IP
2010s, 1st Commercial LTE Launched in 2009
5G-eMBB/IoE
2020s, 5G Era
Next Decade … 2
5G Will Cover Many Industries and Stakeholder Benefits
Enhance Mobile Broadband
Consumers • Ubiquitous & consistent experience • More services
3
Empower Internet of Everything
Verticals • Easy access to the common infrastructure of 5G • Real-time, on-demand services
Operators • Easy deployment and maintenance • Network flexibility for multiple industries
Technical Requirements of 5G
1,000K Links/km
2
10 Gbps Throughput 1 ms Latency
4
Diversified Challenges and Gaps to Reach 5G 5G
Connections
Mobility
Network Architecture
1 ms
10Gbps
1,000K
500km/h
Slicing
E2E Latency
Per Connection
Connections Per km2
High-speed Railway
Ability Required
100x
1.5x
NFV/SDN
10K
350Km/h
Inflexible
30~50x
LTE
Throughput
GAP 5
Latency
30~50ms
100x 100Mbps
5G Revolutionary Road Network Architecture
vEPC
EPC
5G NW Functions
Virtualization
Virtualization + Cloudformation
256QAM M-MIMO
LTE
Multiple Access LAA
LTE ……
NB IOT
Air Interface
Massive CA
Existing Spectrum
Spectrum
6GHz
4G 6
Waveform
6GHz
4.5G
Duplex ……
Channel Coding
New Spectrum + Existing Refarming
Existing Spectrum
100GHz
Frame
NEW AIR
100GHz
(LTE-Advanced Pro)
100GHz
6GHz
5G
LTE-Advanced Pro(4.5G)for New Business Expansion More Capacity 1 Gbps per site
Massive MIMO Massive CA LAA 256QAM 7
All Online 300K Connections per km2
NB IOT LTE-D
Lower Latency 10ms
Shorter TTI Cloud EPC
Huawei 5G Research Investment Huawei began 5G research in 2009 at the launch of the world's first commercial LTE network Research
Standard
$600m
For 5G Research & Standard
2013~2018
8
Product
Deploy
More investment for product development
Global Talents Focusing on 5G Research 500+ 5G Experts
9 5G Research Centers Stockholm, Sweden •System Architecture •Algorithms
Stockholm
Paris, France •Standardization
Ottawa New Jersey
Paris
Munich
Moscow Shanghai Chengdu
Munich, Germany
Moscow, Russia
•Verticals
•Fundamental Algorithms
New Jersey, USA
Ottawa, Canada
Shenzhen
•5G Transmission
•5G Radio •Network Architecture
5G Research Centers in China •Shen zhen •Shang hai •Cheng du
9
Academic Contributions Joint Research on 5G with 20+ Top Universities around the World
Harvard University
New York University
Stanford University
TUM
TUD
Aachen University
Royal Institute of Technology
Chalmers University of Technology
182 National and Kapodistrian University of Athens
10
Cambridge University
University of Surrey
Tsinghua University
Shanghai The Hong Kong Jiao Tong University of Science University and Technology
……
Publications
on 5G new air technology, new architecture, etc (By 2014)
Huawei 5G Collaboration to Drive ECO-System Industry Collaborations
Leading R&D Partner
5G Joint Research with NTT DOCOMO Board Member
Board Member
Board Member
5GIC Key Founder
11
Cooperation with Operators
Key Founder
Etisalat (World Expo 2020 )
5G MOU with SingTel
5G Joint Innovation with LG Uplus Leading R&D Partner
5G strategic cooperation with CMCC
MegaFon (2018 world cup)
5G Lab with Deutsche Telekom
5G MOU with KT
5G MOU with VDF
Key Concerns for Reaching 5G 1 ms E2E Latency
12
10Gbps Per Connection
1,000K
500km/h
Connections Per km2
High-speed Railway
Spectrum
New Architecture
Aggregate All Available Bands
One Physical Network Multiple Industries
Slicing Ability Required
New Air Interface
Flexibility & Spectrum Efficiency
5G Will Aggregate All Bands WRC15
WRC19
Requirement >500MHz
45GHz available
for future Cellular Access and Self-Backhaul
for IMT-2020
Visible Light
Cellular Bands
1
2
3
4
5
6
5G Primary bands
13
10
20
30
40
50
60
70
80
5G Complementary Bands for Capacity, 45GHz available
90
GHz GHz
A New Architecture to Carry MBB & Verticals UP
Application Field
10Gbps 8K/Holographic Video Network Slice
UP
CP RAT Configure
1ms Autonomous Driving Network Slice
Developer
Session/Mobile/Policy
Consumer
Unified Control Plane CDN/Cache
GW UP
UP
Partner
CP
Multi-Application User Plane CP
10Billion
DC
Operator
connections DC
IOT Network Slice
UP
DC One Infrastructure, Multiple Network Slices
Industry Defined Network Slicing
14
Service oriented cloud-formation
Internet architectural operation Page 14
An Innovative Air Interface to Improve Spectrum Efficiency 3G 1.6 SIMO UE Dual Antenna
4G 1.4
1.3
1.7
Fast DL Scheduling
MIMO
OFDM
2ms TTI
Antenna
Modulation
R5 HARQ IR Coding
1.2
R8
AMC Code Sets 16QAM
1.2
UE IRC
PHY Algorithm
1.2
FSS MAC Algorithm
1.2
UMTS to HSPA
HSPA to LTE
1.6*1.4*1.2*1.2
1.3*1.7*1.2*1.2
=3.23 times
15
5G
=3.18 times
? LTE to 5G at least 3 times improvement
5G Key Enabling Radio Technologies Massive MIMO 5 A
F-OFDM (Filtered-OFDM) Flexible sub carrier bandwidth to carry diverse QoE applications
SCMA (Sparse Code Multiple Access) T
3
Packet
SCMA 4
2
T
1 16
F-OFDM
3D sparse functions with nonorthogonal sequence to improve connections Grant free to shorten latency
Polar Code Approach Shannon Limit with no decoder error floor to reduce BER and improve reliability
The Main Issues of OFDM 10% guard band is needed to meet spectrum mask requirement
OFDM can not support asynchronous transmission
OFDM waveform is not flexible , required fixed subcarrier spacing, symbol duration and CP length 17
F-OFDM: Foundational Waveform for Adaptive Air Interface OFDM
F-OFDM
15 KHz
15 KHz/7.5KHz Frequency
30 KHz High speed vehicle/train
Low latency video Traditional Voice/data traffic
Frequency
OFDM sub-carrier spacing
Time
Time
Cellular IoT
OFDM
F-OFDM
Service-adaptive
Fixed sub-carrier spacing Fixed CP
Flexible sub-carrier spacing Flexible CP
High Spectrum utilization
10% guard band
1 subcarrier minimal guard band
Low Signaling overhead
Synchronous
Asynchronous
18
New Multiple Access Scheme for 5G - SCMA SCMA: Sparse Code Multiple Access (One Candidate for 5G) 1G: FDMA
2G: TDMA+FDMA Time
Time
3G: CDMA
Time
Code
(TACS,AMPS)
Frequency
Time
Frequency
Frequency
5G: SCMA
4G: OFDMA Time
Code
Frequency
19
Frequency
SCMA : Massive Connectivity & Low Latency (b1,b2)
UE1
(1,1)
SCMA MODULATION CODEBOOK MAPPING
UE2
(1,0)
SCMA MODULATION CODEBOOK MAPPING
UE3
(1,0)
UE4
(0,0)
SCMA MODULATION CODEBOOK MAPPING
UE5
(0,1)
UE6
(1,1)
SCMA MODULATION CODEBOOK MAPPING
UE Sparse Code Book
→
→
UE1 UE2 UE3 UE4 UE5 UE6
SCMA MODULATION CODEBOOK MAPPING
SCMA MODULATION CODEBOOK MAPPING
Low Density Spreading
SCMA block 1
High Dimension Modulation
f
Spreading over f-OFDM subcarriers
F-OFDM tones
By using low density spreading & high dimension modulation, allocate 6 users to 4 subcarrier, each sub-carrier bears 3 users' information , to increase the connectivity. 20
SCMA Performance Based on Simulation Result Better link quality than LTE
SCMA has SNR gain over LTE(Same rate& same power per user ) SCMA with overloading performance towards single user
21
300% larger numbers of connected users
Given the same SNR, SCMA can boost total system throughput up to 300% over LTE(BLER=0.01)
Polar Code is a Breakthrough in 20 Years Turbo
LDPC
Polar
What is the Polar codes?
Reed-Solomon
A new channel code proposed by
Reed-Muller
Erdal Arikan, Bilkent Univ. Turkey, in 2009
It can achieve Shannon limit
Random
theoretically. It can be decoded with simple SC(successive cancellation) decoder and list SC(successive cancellation) decoder
1950s 22
1970s
1990s
today
Polar Code: to Achieve Shannon Limit Polar Code PBCH ,list=2048 Polar Code PBCH ,list=128 Polar Code PBCH,list=32 LTE Tail biting CC, PBCH
0
10
0
10
Polar Code PDCCH ,list=2048 Polar Code PDCCH ,list=128 Polar Code PDCCH,list=32 LTE TB CC, PDCCH Payload Size=46 -1
10 -1
10
FER
FER
LTE
LTE
-2
10
-2
10
-3
10
-3
10
1 23
-4
10
1 1.25 1.5 1.75 2 2.25 2.5 2.75 3 3.25 3.5 3.75 4 4.25 4.5 4.75 5 Averg EbN0 (dB)
No error floor & High reliability
2
1 1.2 1.4 1.6 1.8
0.5~2dB gain compared with LTE Turbo Code
2 2.2 2.4 2.6 2.8 3 3.2 3.4 3.6 3.8 Averg EbN0 (dB)
3
4 4.2 4.4 4.6 4.8
5
Theoretically proven to achieve Shannon limit
Joint Field Test Plan with NTT DOCOMO
Phase 1
• •
MU-MIMO @ Sub 6GHz Advanced waveform and multiple access(SCMA+ F-OFDM + Polar Code)
China
Phase 2
• • •
New numerology with advanced waveform New channel coding Massive MIMO
Japan
- Connecting the Future Through Joint Innovation 24
Large Scale 5G New Air Interface Field Trial @ Chengdu, China
+
25
• • • •
Sub 6G 24 TUEs 64 TRX 100 MHz
• • • • •
MU-MIMO UL SCMA+F-OFDM DL SCMA+F-OFDM Polar Code DPC
DOCOMO-Huawei Joint Test Video
26
Test Results of Chengdu 5G Joint Test Field Trial Massive MIMO: Dramatically improves spectrum efficiency Maximum throughput:
3.6Gbps
SCMA: Massive connectivity & low latency Time
3 times connections
Code
Average throughput:
1.34Gbps 10+ times compare with SU-MIMO
F-OFDM: Flexibly support IoT and mobile broadband t
More robust performance with asynchronous transmission
Both edge band and center band can use for DL data transmission
f 27
compared with LTE
Frequency
Downlink throughput increase: 50%~60%
Polar Code: Provide a higher transmission reliability
0.5-1.2dB Gain compare with LTE Turbo Code